Genetic Programming Bibliography entries for David Clark

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GP coauthors/coeditors: Ilya Kosorukov, Daniel Blackwell, Myra B Cohen, Justyna Petke, William B Langdon, Afnan Al-Subaihin, Aymeric Blot, Ibrahim Mesecan,

Genetic Programming Articles by David Clark

Genetic Programming conference papers by David Clark

  1. William B. Langdon and David Clark. Deep Mutations have Little Impact. In Gabin An and Aymeric Blot and Vesna Nowack and Oliver Krauss and Justyna Petke editors, 13th International Workshop on Genetic Improvement @ICSE 2024, pages 1-8, Lisbon, 2024. ACM. Best paper. details

  2. William B. Langdon and David Clark. Genetic Improvement of Last Level Cache. In Mario Giacobini and Bing Xue and Luca Manzoni editors, EuroGP 2024: Proceedings of the 27th European Conference on Genetic Programming, volume 14631, pages 209-226, Aberystwyth, 2024. Springer Verlag. details

  3. Ilya Kosorukov and Daniel Blackwell and David Clark and Myra Cohen and Justyna Petke. Mining for Mutation Operators for Reduction of Information Flow Control Violations. In IEEE/ACM International Conference on Automated Software Engineering, The New Ideas and Emerging Results (ASE-NIER 2024), Sacramento, 2024. details

  4. William B. Langdon and Justyna Petke and Aymeric Blot and David Clark. Genetically Improved Software with fewer Data Caches Misses. In Sara Silva and Luis Paquete and Leonardo Vanneschi and Nuno Lourenco and Ales Zamuda and Ahmed Kheiri and Arnaud Liefooghe and Bing Xue and Ying Bi and Nelishia Pillay and Irene Moser and Arthur Guijt and Jessica Catarino and Pablo Garcia-Sanchez and Leonardo Trujillo and Carla Silva and Nadarajen Veerapen editors, Proceedings of the Companion Conference on Genetic and Evolutionary Computation, pages 799-802, Lisbon, Portugal, 2023. Association for Computing Machinery. details

  5. William B. Langdon and Afnan Al-Subaihin and Aymeric Blot and David Clark. Genetic Improvement of LLVM Intermediate Representation. In Gisele Pappa and Mario Giacobini and Zdenek Vasicek editors, EuroGP 2023: Proceedings of the 26th European Conference on Genetic Programming, volume 13986, pages 244-259, Brno, Czech Republic, 2023. Springer Verlag. details

  6. William B. Langdon and Afnan Al-Subaihin and David Clark. Measuring Failed Disruption Propagation in Genetic Programming. In Alma Rahat and Jonathan Fieldsend and Markus Wagner and Sara Tari and Nelishia Pillay and Irene Moser and Aldeida Aleti and Ales Zamuda and Ahmed Kheiri and Erik Hemberg and Christopher Cleghorn and Chao-li Sun and Georgios Yannakakis and Nicolas Bredeche and Gabriela Ochoa and Bilel Derbel and Gisele L. Pappa and Sebastian Risi and Laetitia Jourdan and Hiroyuki Sato and Petr Posik and Ofer Shir and Renato Tinos and John Woodward and Malcolm Heywood and Elizabeth Wanner and Leonardo Trujillo and Domagoj Jakobovic and Risto Miikkulainen and Bing Xue and Aneta Neumann and Richard Allmendinger and Inmaculada Medina-Bulo and Slim Bechikh and Andrew M. Sutton and Pietro Simone Oliveto editors, Proceedings of the 2022 Genetic and Evolutionary Computation Conference, pages 964-972, Boston, USA, 2022. Association for Computing Machinery. details

  7. Ibrahim Mesecan and Daniel Blackwell and David Clark and Myra B. Cohen and Justyna Petke. Keeping Secrets: Multi-objective Genetic Improvement forDetecting and Reducing Information Leakage. In Julia Rubin and Shahar Maoz and Marouane Kessentini editors, 37th IEEE/ACM International Conference on Automated Software Engineering, page Article no. 61, Oakland Center, Michigan, USA, 2022. details

  8. William B. Langdon and Justyna Petke and David Clark. Dissipative Polynomials. In Nadarajen Veerapen and Katherine Malan and Arnaud Liefooghe and Sebastien Verel and Gabriela Ochoa editors, 5th Workshop on Landscape-Aware Heuristic Search, pages 1683-1691, Internet, 2021. ACM. details

  9. Ibrahim Mesecan and Daniel Blackwell and David Clark and Myra B. Cohen and Justyna Petke. HyperGI: Automated Detection and Repair of Information Flow Leakage. In Hourieh Khalajzadeh and Jean-Guy Schneider editors, The 36th IEEE/ACM International Conference on Automated Software Engineering, New Ideas and Emerging Results track, ASE NIER 2021, pages 1358-1362, Melbourne, 2021. details

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